Senior Computational Geophysicist

Senior Computational Geophysicist to lead and execute stochastic and traditional inversions on active geothermal sites, producing subsurface models that materially de-risk drilling and development decisions.

Requirements

• Multiple years of hands-on inversion experience on real-world geothermal or subsurface projects, across multiple sites and datasets
• Direct experience with EM and/or potential fields methods (heliTEM, MT, gravity, and/or magnetics) from raw field data through to full inversion workflows
• Strong programming skills in Python, including experience building reproducible, maintainable scientific software; familiarity with inversion frameworks, numerical optimization, or HPC environments is a strong plus
• Experience implementing or modifying inversion algorithms, and comfort with stochastic, Bayesian, and regularization-based approaches
• Solid physical intuition for geophysical observables and the ability to reconcile inversion results with geological, structural, and operational constraints
• Comfort operating under imperfect data, time pressure, and evolving site understanding
• Proven ability to collaborate across disciplines: geologists, field teams, ML researchers, and business leaders, and communicate clearly about what the data supports, what it doesn't, and where uncertainty matters

Benefits

• Benefits Eligible